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Bioinformatics professors Anthony Gitter and Casey Greene set out in summer 2016 to write a paper about the “state of the art” in deep learning for biomedicine, a hot new artificial intelligence field striving to mimic the neural networks of the human brain.

Human papillomavirus (HPV) and the hormone estrogen are both linked to the development of cervical cancers, but how they work together has remained unclear. A new study by University of Wisconsin-Madison researchers shows how the combination of two factors influences the local cervical environment and drives the progression of cancer development.

In the fight against the viruses that invade everyday life, seeing and understanding the battleground is essential. Scientists at the Morgridge Institute for Research have, for the first time, imaged molecular structures vital to how a major class of viruses replicates within infected cells.

Anthony Gitter, a Morgridge investigator and assistant professor of biostatistics and medical informatics, says the goal will be to create machine learning tools that dramatically reduce the time and cost associated with screening compounds for therapeutic relevance.